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Lucas Georges Gabriel Charpentier

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4

identity via Semantic Scholar / OpenAlex

most citedNot all layers are equally as important: Every Layer Counts BERT

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024

Compositional Generalization with Grounded Language Models

Sondre Wold, Étienne Simon, Lucas Georges Gabriel Charpentier +3

Grounded language models use external sources of information, such as knowledge graphs, to meet some of the general challenges associated with pre-training. By extending previous w…

cs.CL2024

More Room for Language: Investigating the Effect of Retrieval on Language Models

David Samuel, Lucas Georges Gabriel Charpentier, Sondre Wold

Retrieval-augmented language models pose a promising alternative to standard language modeling. During pretraining, these models search in a corpus of documents for contextually re…

cs.CL2023★ 2 cited

Not all layers are equally as important: Every Layer Counts BERT

Lucas Georges Gabriel Charpentier, David Samuel

This paper introduces a novel modification of the transformer architecture, tailored for the data-efficient pretraining of language models. This aspect is evaluated by participatin…

cs.CL2023

BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer

Lucas Georges Gabriel Charpentier, Sondre Wold, David Samuel +1

Retrieval-based language models are increasingly employed in question-answering tasks. These models search in a corpus of documents for relevant information instead of having all f…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.